# MySlabs Scraper - Graded Sports Card & Pokemon Slab Marketplace (`jungle_synthesizer/myslabs-graded-cards-marketplace-scraper`) Actor Scrape MySlabs.com — the largest multi-grader peer-to-peer graded-slab marketplace — for sold comps and active listings across PSA, BGS, SGC, CGC, TAG, HGA. Sale prices, sub-grades, cert numbers, sellers. Three modes: sold archive, active listings, single slab. - **URL**: https://apify.com/jungle\_synthesizer/myslabs-graded-cards-marketplace-scraper.md - **Developed by:** [BowTiedRaccoon](https://apify.com/jungle_synthesizer) (community) - **Categories:** E-commerce, Other - **Stats:** 4 total users, 1 monthly users, 100.0% runs succeeded, 1 bookmarks - **User rating**: No ratings yet ## Pricing Pay per event This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ## MySlabs Scraper — Graded Sports Card & Pokemon Slab Marketplace Extract sold comps and active listings from [MySlabs.com](https://www.myslabs.com), the largest multi-grader peer-to-peer graded-slab marketplace. Covers PSA, BGS, SGC, CGC, TAG, and HGA slabs across sports cards, Pokemon, and other collectibles. ### What you get Each record includes: | Field | Description | |---|---| | `slab_id` | MySlabs internal numeric ID | | `listing_url` | Canonical listing URL | | `title` | Full listing title (YEAR SET #CARD_NO PLAYER GRADE_LABEL) | | `grader` | Grading company (PSA, BGS, SGC, CGC, TAG, HGA) | | `grade` | Grade label as displayed (e.g. "PSA 10 GEM MINT") | | `grade_numeric` | Parsed numeric grade (e.g. `10`, `9.5`) | | `year` | Card year (extracted from title) | | `listing_status` | `sold`, `active`, `ended`, or `pulled` | | `sale_price` | Final sale price in USD (sold listings) | | `asking_price` | Current asking price in USD (active listings) | | `sold_at` | Sale date / timestamp string | | `description` | Seller description text | | `watchers_count` | Number of watchers / trackers | | `image_urls` | Array of full-resolution slab image URLs | ### Three scraping modes #### `archive` — Sold comps (default) Walks the sold archive at `/browse/archive/`. Over 150,000 sold listings, growing ~50/day. Use this mode to pull historical sale prices for comparables research. Optional filters: - **query** — keyword search (player name, set, card number) - **sport** — filter by sport or category keyword (baseball, basketball, pokemon) - **grader** — filter by grading company #### `active` — Current listings Walks active listings at `/browse/`. Same data shape as archive mode but for slabs currently on sale. #### `slab` — Single slab lookup Fetch one or more specific slabs by ID or URL. Pass bare numeric IDs or full `/slab/view//` URLs in `slabIds`. ```json { "mode": "slab", "slabIds": ["1545016", "1500000"] } ```` ### Input parameters | Parameter | Type | Default | Description | |---|---|---|---| | `mode` | string | `archive` | Scrape mode: `archive`, `active`, or `slab` | | `query` | string | — | Keyword search (player, set, card number) | | `sport` | string | — | Sport / category filter keyword | | `grader` | string | — | Grader filter: PSA, BGS, SGC, CGC, TAG, HGA | | `slabIds` | array | — | Slab IDs or URLs (mode=slab only) | | `maxItems` | integer | `10` | Maximum records to return. `0` for unlimited. | | `proxyConfiguration` | object | Apify residential | Proxy settings. Residential proxy required. | ### Example inputs **Sold comps for Michael Jordan PSA cards:** ```json { "mode": "archive", "query": "Michael Jordan", "grader": "PSA", "maxItems": 100 } ``` **Active Pokemon listings:** ```json { "mode": "active", "sport": "pokemon", "maxItems": 50 } ``` **Full archive crawl (unlimited):** ```json { "mode": "archive", "maxItems": 0 } ``` ### Dataset views Two pre-configured views are available on the output dataset: - **Sold Comps** — title, sport, player, year, set, grader, grade, sale\_price, sold\_at, listing\_url - **Full Slab Detail** — all fields including sub-grades, cert number, watchers, images ### Notes - Seller usernames are behind a login wall on MySlabs and are not available without authentication. - BGS sub-grades (centering/corners/edges/surface) are not exposed in the page HTML; they require cert verification API calls which are out of scope. - Images are sourced from the LD+JSON Product schema for full resolution; the listing thumbnail is used as a fallback. - Residential proxy is required for reliable access — MySlabs uses Cloudflare and datacenter IPs are frequently challenged. - The archive contains 150k+ sold listings. Full crawls at `maxItems: 0` will take several hours and consume significant compute units. Use `query` filters to narrow the scope for comp research. # Actor input Schema ## `sp_intended_usage` (type: `string`): Please describe how you plan to use the data extracted by this crawler. ## `sp_improvement_suggestions` (type: `string`): Provide any feedback or suggestions for improvements. ## `sp_contact` (type: `string`): Provide your email address so we can get in touch with you. ## `mode` (type: `string`): Scrape mode: archive (sold listings), active (current listings), or slab (single slab by ID/URL). ## `query` (type: `string`): Keyword search (player name, set name, card number, etc.). Leave blank to walk all pages. ## `sport` (type: `string`): Filter by sport or category keyword (baseball, basketball, pokemon, etc.). Leave blank for all. ## `grader` (type: `string`): Filter by grading company. ## `slabIds` (type: `array`): When mode=slab, list of /slab/view// URLs or bare numeric IDs. ## `maxItems` (type: `integer`): Maximum records to return. 0 for unlimited. ## `proxyConfiguration` (type: `object`): No description ## Actor input object example ```json { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "mode": "archive", "maxItems": 10, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } ``` # Actor output Schema ## `results` (type: `string`): No description # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "mode": "archive", "query": "", "sport": "", "grader": "", "maxItems": 10, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }; // Run the Actor and wait for it to finish const run = await client.actor("jungle_synthesizer/myslabs-graded-cards-marketplace-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "mode": "archive", "query": "", "sport": "", "grader": "", "maxItems": 10, "proxyConfiguration": { "useApifyProxy": True, "apifyProxyGroups": ["RESIDENTIAL"], }, } # Run the Actor and wait for it to finish run = client.actor("jungle_synthesizer/myslabs-graded-cards-marketplace-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "mode": "archive", "query": "", "sport": "", "grader": "", "maxItems": 10, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }' | apify call jungle_synthesizer/myslabs-graded-cards-marketplace-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=jungle_synthesizer/myslabs-graded-cards-marketplace-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "MySlabs Scraper - Graded Sports Card & Pokemon Slab Marketplace", "description": "Scrape MySlabs.com — the largest multi-grader peer-to-peer graded-slab marketplace — for sold comps and active listings across PSA, BGS, SGC, CGC, TAG, HGA. Sale prices, sub-grades, cert numbers, sellers. Three modes: sold archive, active listings, single slab.", "version": "0.1", "x-build-id": "DdPQKNquqfbsgZYzA" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/jungle_synthesizer~myslabs-graded-cards-marketplace-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-jungle_synthesizer-myslabs-graded-cards-marketplace-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/jungle_synthesizer~myslabs-graded-cards-marketplace-scraper/runs": { "post": { "operationId": "runs-sync-jungle_synthesizer-myslabs-graded-cards-marketplace-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/jungle_synthesizer~myslabs-graded-cards-marketplace-scraper/run-sync": { "post": { "operationId": "run-sync-jungle_synthesizer-myslabs-graded-cards-marketplace-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "required": [ "sp_intended_usage", "sp_improvement_suggestions" ], "properties": { "sp_intended_usage": { "title": "What is the intended usage of this data?", "minLength": 1, "type": "string", "description": "Please describe how you plan to use the data extracted by this crawler." }, "sp_improvement_suggestions": { "title": "How can we improve this crawler for you?", "minLength": 1, "type": "string", "description": "Provide any feedback or suggestions for improvements." }, "sp_contact": { "title": "Contact Email", "minLength": 1, "type": "string", "description": "Provide your email address so we can get in touch with you." }, "mode": { "title": "Mode", "enum": [ "archive", "active", "slab" ], "type": "string", "description": "Scrape mode: archive (sold listings), active (current listings), or slab (single slab by ID/URL).", "default": "archive" }, "query": { "title": "Search Query", "type": "string", "description": "Keyword search (player name, set name, card number, etc.). Leave blank to walk all pages." }, "sport": { "title": "Sport / Category", "type": "string", "description": "Filter by sport or category keyword (baseball, basketball, pokemon, etc.). Leave blank for all." }, "grader": { "title": "Grader", "enum": [ "", "PSA", "BGS", "SGC", "CGC", "TAG", "HGA" ], "type": "string", "description": "Filter by grading company." }, "slabIds": { "title": "Slab IDs / URLs", "type": "array", "description": "When mode=slab, list of /slab/view// URLs or bare numeric IDs.", "items": { "type": "string" } }, "maxItems": { "title": "Max Items", "type": "integer", "description": "Maximum records to return. 0 for unlimited.", "default": 10 }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "" } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```